This repository contains a replication-style empirical exercise implementing the Difference-in-Differences (DiD) framework for policy evaluation using panel data.
The project is developed as part of a graduate-level econometrics course and serves as a methodological portfolio demonstrating applied causal inference skills.
The analysis applies standard DiD and Two-Way Fixed Effects (TWFE) estimators to evaluate the impact of a policy intervention on voting turnout outcomes.
The focus is on estimation, interpretation, and critical assessment of identifying assumptions rather than exact replication of published results.
- Difference-in-Differences (DiD)
- Two-Way Fixed Effects (TWFE)
- Event-study specification for dynamic treatment effects
- Emphasis on effect magnitude, statistical significance, and substantive relevance
- County-level panel data (structure aligned with course materials)
- Data used in this repository are not identical to those in the original study
- All observations are treated with equal weights, following assignment guidelines
01_*.do / .ipynb: Main estimation scriptsoutputs/: Tables or figures generated from the analysis (if applicable)
This repository is already has report.
Additional robustness checks, alternative specifications, and documentation may be added incrementally.
- This repository is intended for academic demonstration and learning purposes
- Results should not be interpreted as definitive policy evaluation outcomes
- Code and interpretation emphasize transparency and replicability